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Changes in Transcript Abundance Relating to Colony Collapse Disorder in Honey Bees (Apis Mellifera)

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Changes in Transcript Abundance Relating to Colony Collapse Disorder in Honey Bees (Apis Mellifera) Changes in transcript abundance relating to colony collapse disorder in honey bees (Apis mellifera) Reed M. Johnsona,1, Jay D. Evansb, Gene E. Robinsona, and May R. Berenbauma,2 aDepartment of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL 61801; and bBee Research Laboratory, Agricultural Research Service, United States Department of Agriculture, Beltsville, MD 20705 Contributed by May R. Berenbaum, July 14, 2009 (sent for review February 18, 2009) Colony collapse disorder (CCD) is a mysterious disappearance of Pesticides also have been suspected to play a role in CCD. honey bees that has beset beekeepers in the United States since Sublethal exposures leading to behavioral disruptions consistent late 2006. Pathogens and other environmental stresses, including with the failure of foragers to return to their hives have been pesticides, have been linked to CCD, but a causal relationship has associated with the neonicotinoid pesticides (7). The long-term not yet been demonstrated. Because the gut acts as a primary use of combinations of in-hive pesticides for control of honey bee interface between the honey bee and its environment as a site of parasites also may have contributed to otherwise unexplained entry for pathogens and toxins, we used whole-genome microar- bee mortality (8). rays to compare gene expression between guts of bees from CCD To differentiate among possible explanations for CCD, we colonies originating on both the east and west coasts of the United used whole-genome microarray analysis, comparing gut gene States and guts of bees from healthy colonies sampled before the expression in adult worker bees from healthy and CCD colonies. emergence of CCD. Considerable variation in gene expression was We assayed the gut because it is the principal site of pesticide associated with the geographical origin of bees, but a consensus detoxification and an integral component in the immune defense list of 65 transcripts was identified as potential markers for CCD against pathogens in A. mellifera. Samples from colonies varying status. Overall, elevated expression of pesticide response genes in CCD severity were collected on the U.S. east and west coasts was not observed. Genes involved in immune response showed no in the winter of 2006–2007 and compared with healthy (‘‘his- clear trend in expression pattern despite the increased prevalence torical’’) controls collected in 2004 and 2005. of viruses and other pathogens in CCD colonies. Microarray anal- ysis revealed unusual ribosomal RNA fragments that were con- Results spicuously more abundant in the guts of CCD bees. The presence Gene Expression Differences. The microarray contained oligonu- of these fragments may be a possible consequence of picorna-like cleotide probes representing 9,867 different genes (with dupli- viral infection, including deformed wing virus and Israeli acute cate spots), based on gene predictions and annotation from the paralysis virus, and may be related to arrested translation. Ribo- honey bee genome sequencing project; in addition, 2,729 probes somal fragment abundance and presence of multiple viruses may specific for ESTs matching no existing annotation were repre- prove to be useful diagnostic markers for colonies afflicted with sented on the array (9–11), including 21 probes derived from CCD. expressed sequence tags (ESTs) specific for rRNA [supporting information (SI) Table S1]. microarray ͉ picorna-like virus ͉ ribosomal RNA Of the 6,777 probes with expression above background level, 1,305 probes showed significant differences in expression in at s the premier managed pollinator in the United States, the least 1 of the 5 contrasts [false discovery rate (FDR), P Ͻ .01; Awestern honey bee, Apis mellifera, contributes more than and fold-change Ͼ2) (Fig. 1]. The west coast versus historical $14 billion to agriculture annually (1). Beginning in fall 2006, the comparison alone generated a list of 948 differentially expressed American apiculture industry experienced catastrophic losses of probes; however, 668 of these were not differentially expressed unknown origin. The phenomenon, called colony collapse dis- in any of the other comparisons. order (CCD), was identified by a set of distinctive characteristics, There was little concordance in the lists of differentially including the absence of dead bees in or near the colony and the expressed genes between the east and west coast comparison of presence of abundant brood, honey, and pollen despite vastly guts taken from ‘‘severe’’ and ‘‘mild’’ colonies. Just 54 probes reduced numbers of adult workers (2). Losses were estimated at shared differential expression between the east and west coast 23% over the winter of 2006–2007 (3) and at 36% over the winter severe versus mild comparisons, with 191 probes showing unique of 2007–2008 (4). differential expression. That so many genes are differentially tran- Using metagenomics, Cox-Foster et al. (3) compared the scribed in the severe versus mild comparisons suggests these microbial flora of honey bees in hives diagnosed with CCD and classifications may not be equivalent across geographical samplings. in ostensibly healthy hives, evaluating pathogens with respect to Reflecting the strong differences in gene expression, hierar- their association with diagnosed CCD. The most predictive chical cluster analysis, using expression values for all probes, pathogen was Israeli acute paralysis virus (IAPV), a picorna-like virus (Dicistroviridae) hitherto unreported in the United States. However, a later study found IAPV in U.S. bees before the Author contributions: R.M.J., J.D.E., G.E.R., and M.R.B. designed research; R.M.J. and J.D.E. appearance of CCD (5), discounting an exclusive causal rela- performed research; J.D.E. and G.E.R. contributed new reagents/analytic tools; R.M.J., J.D.E., G.E.R., and M.R.B. analyzed data; and R.M.J., J.D.E., G.E.R., and M.R.B. wrote the tionship. The metagenomic analysis identified other pathogens paper. associated with CCD bees, including the picorna-like viruses The authors declare no conflict of interest. Kashmir bee virus (KBV) and deformed wing virus (DWV), and Data deposition: The data reported in this paper have been deposited in the ArrayExpress 2 species in the microsporidian genus Nosema (3), one of which, database, www.ebi.ac.uk/arrayexpress (accession no. E-MEXP-2292). N. ceranae, was subsequently linked to collapses of colonies in 1Present address: Department of Entomology, University of Nebraska-Lincoln, Lincoln, NE Spain (6), although this may be unrelated to CCD in the United 68583. States. A high prevalence of multiple pathogens in CCD bees 2To whom correspondence should be addressed. E-mail: [email protected]. suggests that a compromised immune response may be integral This article contains supporting information online at www.pnas.org/cgi/content/full/ to CCD. 0906970106/DCSupplemental. 14790–14795 ͉ PNAS ͉ September 1, 2009 ͉ vol. 106 ͉ no. 35 www.pnas.org͞cgi͞doi͞10.1073͞pnas.0906970106 Downloaded by guest on September 26, 2021 catabolic process (GO:0009253) were overrepresented but did not demonstrate consistent directional differences. The pepti- doglycan recognition proteins (PGRPs) contribute to immunity by detecting bacteria (13); PGRP-S2 was up-regulated and PGRP-S3 was down-regulated in CCD bees. Transcripts encod- ing sallimus, a large complex protein that mediates muscle elasticity (14), were more abundant in west coast bees. This protein also may contribute to immunity, because it contains Ig repeats and its transcripts are overexpressed in Anopheles gam- biae mosquitoes after bacterial infection (15). The gene mblk-1 was more highly expressed in CCD bees; the D. melanogaster ortholog of this gene plays a role in hormone- triggered cell death (16) and larval midgut histolysis (17). Thus, overexpression of mblk-1 may indicate apoptosis in the guts of CCD bees. However, of the 39 apoptosis-related (GO:0006915) genes on the microarray, only mblk-1 and GB14659, which is similar to apoptotic peptidase activating factor 1, were more highly Fig. 1. Experimental design for microarray comparisons of CCD and healthy expressed in the guts of CCD bees. bees. East coast CCD includes bees collected in Florida and Pennsylvania, and west coast CCD includes bees from California. Guts from bees remaining in colonies that were classified as mild or severe were compared with each other Pathogens in CCD Bees. Twenty-two probes specific for 8 bee and together, through a reference gut RNA sample, with guts of healthy pathogens were present on the microarray [KBV, DWV, black historical bees collected in 2004 and 2005. A total of 22 microarrays were queen cell virus (BQCV), acute bee paralysis virus, sacbrood hybridized. virus, Ascophaera apis, Nosema apis, and Paenibacillus larvae] (Fig. S2), providing an opportunity to survey the samples for pathogens. In some cases, the number of colonies sampled was grouped the samples broadly by health status and geography (Fig. small with respect to standard pathogen surveys, so the results 2). All healthy bees clustered together, as did all CCD bees, which are best interpreted in a qualitative rather than quantitative were further clustered according to geography, with west coast manner. Three pathogens were detectable at different levels California bees forming one group and east coast Pennsylvania and among the sampled bees. Chalkbrood (A. apis) RNA was more Florida bees clustering together in another group. Differences in abundant in both east coast CCD bees and in severe CCD bees. relative colony health at the time of collection, either mild or severe BQCV RNA was more abundant in CCD bees, as was DWV, but CCD, were not reflected in the cluster analysis. DWV also was more abundant in east coast severe CCD bees. Although geographic variation among the east and west coast The DWV probe on the microarray also may have detected the CCD samples is evident, if CCD is a distinct phenomenon, then closely related Kakugo virus or Varroa destructor virus 1 (18), it should be possible to identify a list of CCD-related genes that with which it shares 91% identity.
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